{"id":"W3045899343","doi":"10.1101/2020.07.28.224477","title":"Disentangling Conditional Effects of Multiple Regime Shifts on Atlantic Cod Productivity","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Regime shift; Productivity; Abundance (ecology); North Atlantic oscillation; Fishing; Zooplankton; Environmental science; Climate change; Marine ecosystem; Oceanography; Atlantic multidecadal oscillation; Sea surface temperature; Fishery; Norwegian; Ecosystem; Ecology; Geography; Biology; Economics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002469547,0.0002038102,0.0002708851,0.0007885115,0.0001839229,0.0006780024,0.000230687,0.0002742556,0.0007434577],"category_scores_gemma":[0.005877161,0.0001990485,0.0004052148,0.0004493279,0.0002768127,0.0005260439,0.0006518404,0.0005456208,0.00007647692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467273,"about_ca_system_score_gemma":0.0004403974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005912283,"about_ca_topic_score_gemma":0.008786536,"domain_scores_codex":[0.9995537,0.0001780303,0.00002892965,0.0001232337,0.00006160937,0.00005442102],"domain_scores_gemma":[0.9962295,0.002782444,0.0004050513,0.0002402297,0.0001953767,0.0001474054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002306045,0.00009043366,0.928643,0.00003522731,0.0003216952,0.00009320179,0.0001657602,0.01294231,0.0169166,0.001061366,0.0002156406,0.03928415],"study_design_scores_gemma":[0.00000819114,0.00006249146,0.8476443,0.00001024298,0.00006087474,0.0000573198,0.00008418838,0.1476804,0.002243625,0.001822254,0.0003075883,0.00001859731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864488,0.00008428036,0.01278342,0.00004532869,0.000006408738,0.000005400554,0.0001568408,0.00004102815,0.0004285708],"genre_scores_gemma":[0.9979119,0.00001771055,0.00185519,0.000007589652,0.000005609339,0.000003711601,0.0001145127,0.000006431734,0.0000772656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005912283,"threshold_uncertainty_score":0.01306039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582543049055496,"score_gpt":0.2135424055767667,"score_spread":0.1977169750862117,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}